IBM reported a quarterly earnings shortfall that turned out worse than the company’s prior warning and market expectations. The shortfall was driven in part by customers buying less of IBM’s AI-adjacent products in order to allocate funds to other vendors supplying AI-critical technology. That shift signals the end of the initial "let a thousand flowers bloom" phase and a move toward stricter prioritization of spending.
"Educational friction" as firms reassess AI value
Vice Chair Gary Cohn described the market as undergoing "educational friction": customers are actively learning what AI can and cannot do and are re-evaluating commitments accordingly. "Deals are slipping a few weeks here, deals are slipping a few weeks there," Cohn said, noting that many transactions are being delayed as buyers reassess. He emphasized that implementation costs — tokens, engineers, consulting fees — occupy a growing share of corporate budgets, and without additional budget CEOs are forced to forego other purchases.
Inventory moves and pricing dynamics
The reporting also notes that IBM behaved similarly to some of its customers by hoarding inventory of memory and power ahead of expected price increases in its own supply chain. At the same time, some customers offered last-minute discounts under the assumption IBM would be desperate to meet quarterly targets — a dynamic Cohn described as a pyrrhic victory, suggesting such tactics may not be effective going forward.
Executive comments and outlook revisions
On the company’s quarterly call, CEO Arvind Krishna said IBM’s AI strategy "is the right one," but conceded the company "fell short" on execution last quarter. According to CNBC, IBM lowered its full-year 2026 forecast on Wednesday even after the company had issued an earnings warning the previous week.
Why this matters
The episode illustrates more than a single earnings miss: it highlights how capital allocation is changing across the AI era, as companies balance upfront implementation costs against expected benefits. Until CEOs receive clear incentives or expanded budgets for AI spending, many firms will reallocate money away from some vendors, with direct revenue implications for providers like IBM.
What to watch next
Markets will watch whether IBM tightens execution or repositions its offerings to win back customer spend. Equally important for the sector will be how companies communicate and prioritize AI investments in coming quarters.
